Volume 22 Issue 2
Jul.  2021
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Xu Xiaojian, Huang Xiaoping, Zhang Jinlun. Using Genetic Algorithm to Estimate Parameters of Van Genuchten Equation[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2008, 22(2): 75-78.
Citation: Xu Xiaojian, Huang Xiaoping, Zhang Jinlun. Using Genetic Algorithm to Estimate Parameters of Van Genuchten Equation[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2008, 22(2): 75-78.

Using Genetic Algorithm to Estimate Parameters of Van Genuchten Equation

  • Received Date: 2007-12-20
    Available Online: 2021-07-07
  • The Van Genuchten Equation (VGE) which is used to describe the feature of soil water movement is super-set and nonlinear. Using traditional method calculating the VGEs parameters often results with a high margin of error because of complication and artificial factors. Genetic Algorithms (GA) is a new outstanding evolutionary computation method for solving complex nonlinear model. Therefore, application of real coding that based Poly-Population Genetic Algorithm (PPGA) on the VGE's parameters optimization is proposed. The results show that PPGA is a high effective algorithm with many good properties such as fast computing speed, high efficiency, high precision, small artificial factors and so on. Consequently, PPGA is a new method for calculating Van Genuchten equation parameters.

     

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